Since the end of 2019, all countries of the world have faced a rapidly increasing level of disease caused by the new coronavirus infection COVID-19, which in turn has led to the introduction of a number of restrictions in various areas of life. Educational institutions in many countries were forced to transfer students to a remote mode of work, for which both sides were not ready. The difficulty of a quick transition to a distance learning mode was primarily associated with a number of technical limitations, since not every educational institution had the proper material and technical support, just like not every student had the opportunity to use electronic resources. The resulting situation temporarily made it impossible to carry out the educational process. As technical and other problems were solved, educational organizations sought to bridge the gap in the quality of distance and face-to-face training. This article provides statistical data on the results of the unified state exam in mathematics in various regions of Russia and analyzes the results of the exam.
Modern higher education is a rather complex process that requires a special methodology for building the process of obtaining education by future specialists. In the aerospace industry, to simplify the process of searching for future employees of enterprises among applicants/students, a tool such as targeted training is used. At the same time, it does not guarantee the effectiveness of training a student, due to the linearity of the process of targeted learning. In addition, inertia is another important problem in targeted training. This paper presents a methodology for implementing individualization of the training of target students, which will solve the problems described above. Enterprises classify targeted queries into three vectors. The first vector covers further vocational education (FVE). It is associated with specific qualifications required by the employer and industry. The second vector is the classical scheme for preparing students. According to this scheme, training takes place according to the list of educational programs implemented by the university. But at the same time, this vector has the largest number of problems. The third vector is full-cycle training. The main aspect is the application of individualization of the learning process and individual tutoring.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.